spark-instrumented-optimizer/sql/core/benchmarks/MakeDateTimeBenchmark-results.txt
Dongjoon Hyun 854a0f752e [SPARK-29320][TESTS] Compare sql/core module in JDK8/11 (Part 1)
### What changes were proposed in this pull request?

This PR regenerates the `sql/core` benchmarks in JDK8/11 to compare the result. In general, we compare the ratio instead of the time. However, in this PR, the average time is compared. This PR should be considered as a rough comparison.

**A. EXPECTED CASES(JDK11 is faster in general)**
- [x] BloomFilterBenchmark (JDK11 is faster except one case)
- [x] BuiltInDataSourceWriteBenchmark (JDK11 is faster at CSV/ORC)
- [x] CSVBenchmark (JDK11 is faster except five cases)
- [x] ColumnarBatchBenchmark (JDK11 is faster at `boolean`/`string` and some cases in `int`/`array`)
- [x] DatasetBenchmark (JDK11 is faster with `string`, but is slower for `long` type)
- [x] ExternalAppendOnlyUnsafeRowArrayBenchmark (JDK11 is faster except two cases)
- [x] ExtractBenchmark (JDK11 is faster except HOUR/MINUTE/SECOND/MILLISECONDS/MICROSECONDS)
- [x] HashedRelationMetricsBenchmark (JDK11 is faster)
- [x] JSONBenchmark (JDK11 is much faster except eight cases)
- [x] JoinBenchmark (JDK11 is faster except five cases)
- [x] OrcNestedSchemaPruningBenchmark (JDK11 is faster in nine cases)
- [x] PrimitiveArrayBenchmark (JDK11 is faster)
- [x] SortBenchmark (JDK11 is faster except `Arrays.sort` case)
- [x] UDFBenchmark (N/A, values are too small)
- [x] UnsafeArrayDataBenchmark (JDK11 is faster except one case)
- [x] WideTableBenchmark (JDK11 is faster except two cases)

**B. CASES WE NEED TO INVESTIGATE MORE LATER**
- [x] AggregateBenchmark (JDK11 is slower in general)
- [x] CompressionSchemeBenchmark (JDK11 is slower in general except `string`)
- [x] DataSourceReadBenchmark (JDK11 is slower in general)
- [x] DateTimeBenchmark (JDK11 is slightly slower in general except `parsing`)
- [x] MakeDateTimeBenchmark (JDK11 is slower except two cases)
- [x] MiscBenchmark (JDK11 is slower except ten cases)
- [x] OrcV2NestedSchemaPruningBenchmark (JDK11 is slower)
- [x] ParquetNestedSchemaPruningBenchmark (JDK11 is slower except six cases)
- [x] RangeBenchmark (JDK11 is slower except one case)

`FilterPushdownBenchmark/InExpressionBenchmark/WideSchemaBenchmark` will be compared later because it took long timer.

### Why are the changes needed?

According to the result, there are some difference between JDK8/JDK11.
This will be a baseline for the future improvement and comparison. Also, as a reproducible  environment, the following environment is used.
- Instance: `r3.xlarge`
- OS: `CentOS Linux release 7.5.1804 (Core)`
- JDK:
  - `OpenJDK Runtime Environment (build 1.8.0_222-b10)`
  - `OpenJDK Runtime Environment 18.9 (build 11.0.4+11-LTS)`

### Does this PR introduce any user-facing change?

No.

### How was this patch tested?

This is a test-only PR. We need to run benchmark.

Closes #26003 from dongjoon-hyun/SPARK-29320.

Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2019-10-03 08:58:25 -07:00

23 lines
2.1 KiB
Plaintext

OpenJDK 64-Bit Server VM 1.8.0_222-b10 on Linux 3.10.0-862.3.2.el7.x86_64
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
make_date(): Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
prepare make_date() 2990 3159 267 33.4 29.9 1.0X
make_date(2019, 9, 16) 2376 2446 90 42.1 23.8 1.3X
make_date(*, *, *) 4751 4786 31 21.0 47.5 0.6X
OpenJDK 64-Bit Server VM 1.8.0_222-b10 on Linux 3.10.0-862.3.2.el7.x86_64
Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz
make_timestamp(): Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
prepare make_timestamp() 3855 3936 104 0.3 3855.3 1.0X
make_timestamp(2019, 1, 2, 3, 4, 50.123456) 83 87 5 12.0 83.1 46.4X
make_timestamp(2019, 1, 2, 3, 4, 60.000000) 73 82 9 13.8 72.7 53.0X
make_timestamp(2019, 12, 31, 23, 59, 60.00) 66 74 9 15.2 65.8 58.6X
make_timestamp(*, *, *, 3, 4, 50.123456) 266 277 11 3.8 265.9 14.5X
make_timestamp(*, *, *, *, *, 0) 268 275 13 3.7 267.6 14.4X
make_timestamp(*, *, *, *, *, 60.0) 272 273 0 3.7 272.4 14.2X
make_timestamp(2019, 1, 2, *, *, *) 3940 3966 24 0.3 3940.4 1.0X
make_timestamp(*, *, *, *, *, *) 3867 3917 68 0.3 3867.4 1.0X